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Sanitize unfilled recv slots in flashinfer_nvlink_one_sided dispatch#9

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zyongye merged 1 commit intozyongye:nvlink_one_sided_bf16_support_upstreamfrom
liuzijing2014:patch-sanitize-recv-slots
Apr 29, 2026
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Sanitize unfilled recv slots in flashinfer_nvlink_one_sided dispatch#9
zyongye merged 1 commit intozyongye:nvlink_one_sided_bf16_support_upstreamfrom
liuzijing2014:patch-sanitize-recv-slots

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@liuzijing2014 liuzijing2014 commented Apr 29, 2026

Padded rows in the [ep_size, max_num_tokens, ...] workspace retain
stale topk_ids from prior dispatch calls (the workspace is zeroed
only once at init). Those stale ids cause the downstream trtllm_fp4
grouped GEMM to do phantom work for random local experts every layer,
which (a) inflates expert GEMM time and (b) creates the cross-rank
skew that the combine kernel then has to wait on.

Setting invalid_token_expert_id to num_experts (one past the valid
expert range) makes the flashinfer worker overwrite all top_k
topk_ids slots of padded rows with that sentinel
(moeA2ASanitizeExpertIdsKernel in moeAlltoAllKernels.cu); the
trtllm grouped GEMM then sees those rows as routed to no local expert
(out of [local_expert_offset, local_expert_offset + local_num_experts))
and skips them.

Padded rows in the [ep_size, max_num_tokens, ...] workspace retain
stale topk_ids from prior dispatch calls (the workspace is zeroed only
once at init). Those stale ids cause the downstream trtllm_fp4 grouped
GEMM to do phantom work for random local experts every layer, which
(a) inflates expert GEMM time and (b) creates the cross-rank skew that
the combine kernel then has to wait on.

Setting `invalid_token_expert_id` to `num_experts` (one past the valid
expert range) makes the flashinfer worker overwrite all top_k topk_ids
slots of padded rows with that sentinel (moeA2ASanitizeExpertIdsKernel
in moeAlltoAllKernels.cu); the trtllm grouped GEMM then sees those
rows as routed to no local expert (out of [local_expert_offset,
local_expert_offset + local_num_experts)) and skips them.

Signed-off-by: Zijing Liu <liuzijing2014@gmail.com>
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@zyongye zyongye merged commit 0085c15 into zyongye:nvlink_one_sided_bf16_support_upstream Apr 29, 2026
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zyongye pushed a commit that referenced this pull request Apr 29, 2026
)

Padded rows in the [ep_size, max_num_tokens, ...] workspace retain
stale topk_ids from prior dispatch calls (the workspace is zeroed only
once at init). Those stale ids cause the downstream trtllm_fp4 grouped
GEMM to do phantom work for random local experts every layer, which
(a) inflates expert GEMM time and (b) creates the cross-rank skew that
the combine kernel then has to wait on.

Setting `invalid_token_expert_id` to `num_experts` (one past the valid
expert range) makes the flashinfer worker overwrite all top_k topk_ids
slots of padded rows with that sentinel (moeA2ASanitizeExpertIdsKernel
in moeAlltoAllKernels.cu); the trtllm grouped GEMM then sees those
rows as routed to no local expert (out of [local_expert_offset,
local_expert_offset + local_num_experts)) and skips them.

Signed-off-by: Zijing Liu <liuzijing2014@gmail.com>
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>
zyongye pushed a commit that referenced this pull request Apr 29, 2026
)

Padded rows in the [ep_size, max_num_tokens, ...] workspace retain
stale topk_ids from prior dispatch calls (the workspace is zeroed only
once at init). Those stale ids cause the downstream trtllm_fp4 grouped
GEMM to do phantom work for random local experts every layer, which
(a) inflates expert GEMM time and (b) creates the cross-rank skew that
the combine kernel then has to wait on.

Setting `invalid_token_expert_id` to `num_experts` (one past the valid
expert range) makes the flashinfer worker overwrite all top_k topk_ids
slots of padded rows with that sentinel (moeA2ASanitizeExpertIdsKernel
in moeAlltoAllKernels.cu); the trtllm grouped GEMM then sees those
rows as routed to no local expert (out of [local_expert_offset,
local_expert_offset + local_num_experts)) and skips them.

Signed-off-by: Zijing Liu <liuzijing2014@gmail.com>
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>
zyongye pushed a commit that referenced this pull request Apr 30, 2026
)

Padded rows in the [ep_size, max_num_tokens, ...] workspace retain
stale topk_ids from prior dispatch calls (the workspace is zeroed only
once at init). Those stale ids cause the downstream trtllm_fp4 grouped
GEMM to do phantom work for random local experts every layer, which
(a) inflates expert GEMM time and (b) creates the cross-rank skew that
the combine kernel then has to wait on.

Setting `invalid_token_expert_id` to `num_experts` (one past the valid
expert range) makes the flashinfer worker overwrite all top_k topk_ids
slots of padded rows with that sentinel (moeA2ASanitizeExpertIdsKernel
in moeAlltoAllKernels.cu); the trtllm grouped GEMM then sees those
rows as routed to no local expert (out of [local_expert_offset,
local_expert_offset + local_num_experts)) and skips them.

Signed-off-by: Zijing Liu <liuzijing2014@gmail.com>
Signed-off-by: Yongye Zhu <zyy1102000@gmail.com>
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2 participants